Publications by authors named "Carol Ann B Diachun"
Background: Global medical education is gradually moving toward more comprehensive implementations of a competency-based education (CBE) model. Elimination of standard time-based training and adoption of time-variable training (competency-based time-variable training [CB-TVT]) is one of the final stages of implementation of CBE. While CB-TVT has been implemented in some programs outside the United States, residency programs in the United States are still exploring this approach to training.
View Article and Find Full Text PDFThe COVID-19 pandemic has forced organizers of traditional in-person continuing medical education conferences to transition to a virtual format. There are both advantages and disadvantages to this change in format. When planning a virtual meeting, several factors require consideration, including costs, virtual platforms, sponsorship, networking, and meeting logistics.
View Article and Find Full Text PDFArticle Synopsis
- The study aims to improve the assessment of feedback quality on resident performance by using machine learning, making the process faster and less subjective compared to manual methods.
- Machine learning models were trained on a dataset of 1925 feedback comments to predict the presence of certain feedback traits and to assign utility scores, achieving accuracies ranging from 74.4% to 82.2%.
- The use of machine learning significantly reduced the time required for feedback assessment, completing predictions in minutes compared to 15 hours for manual scoring of the same data.
Background: Despite its importance, training faculty to provide feedback to residents remains challenging. We hypothesized that, overall, at 4 institutions, a faculty development program on providing feedback on professionalism and communication skills would lead to (1) an improvement in the quantity, quality, and utility of feedback and (2) an increase in feedback containing negative/constructive feedback and pertaining to professionalism/communication. As secondary analyses, we explored these outcomes at the individual institutions.
View Article and Find Full Text PDFBackground: Previous studies have demonstrated that obesity is paradoxically associated with a lower risk of mortality after noncardiac surgery. This study will determine the impact of the modified metabolic syndrome (defined as the presence of obesity, hypertension, and diabetes) on perioperative outcomes.
Methods: This study is based on data from 310,208 patients in the American College of Surgeons National Surgical Quality Improvement Program database.